DocumentCode :
1581376
Title :
Review on mining and investigation of criminal records from digital devices
Author :
Javed, Mohammad Azmat ; Jaiswal, Siddhant
Author_Institution :
Dept. of Comput. Sci. & Eng., G.H. Raisoni Coll. of Eng., Nagpur, India
fYear :
2015
Firstpage :
1
Lastpage :
3
Abstract :
In computer forensics analysis, hundreds and thousands of files are usually examined. Lots of the data present in those files consists of unstructured text, and the analysis of those texts difficult to be performed by computer examiners. For that there is a need of automated methods of analysis. In particular, algorithms for clustering documents can help the discovery of new and useful knowledge from the document under analysis. For that document clustering can be used for forensic analysis digital devices in police investigations. Document clustering has great potential to be useful for computer inspection. The clusters of either relevant or irrelevant documents can facilitate computer examiners to efficiently focus on the most relevant documents instead of inspecting all of them. This paper focuses on the method of document clustering for investigation of criminal records from digital devices.
Keywords :
data mining; digital forensics; document handling; law administration; pattern clustering; computer examiners; computer forensics analysis; criminal records investigation; criminal records mining; document clustering; forensic analysis digital devices; irrelevant documents; relevant documents; Algorithm design and analysis; Clustering algorithms; Computers; Conferences; Entropy; Forensics; Technological innovation; Document Clustering; digital devices; forensic analysis; text mining;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovations in Information, Embedded and Communication Systems (ICIIECS), 2015 International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4799-6817-6
Type :
conf
DOI :
10.1109/ICIIECS.2015.7193172
Filename :
7193172
Link To Document :
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